ecc01b9a46
* fix(security): commons-text in frontend * refactor(restli): set threads based on cpu cores feat(mce-consumers): hit local restli endpoint * testing docker build * Add retry configuration options for entity client * Kafka debugging * fix(kafka-setup): parallelize topic creation * Adjust docker build * Docker build updates * WIP * fix(lint): metadata-ingestion lint * fix(gradle-docker): fix docker frontend dep * fix(elastic): fix race condition between gms and mae for index creation * Revert "fix(elastic): fix race condition between gms and mae for index creation" This reverts commit 9629d12c3bdb3c0dab87604d409ca4c642c9c6d3. * fix(test): fix datahub frontend test for clean/test cycle * fix(test): datahub-frontend missing assets in test * fix(security): set protobuf lib datahub-upgrade & mce/mae-consumer * gitingore update * fix(docker): remove platform on docker base image, set by buildx * refactor(kafka-producer): update kafka producer tracking/logging * updates per PR feedback * Add documentation around mce standalone consumer Kafka consumer concurrency to follow thread count for restli & sql connection pool Co-authored-by: leifker <dleifker@gmail.com> Co-authored-by: Pedro Silva <pedro@acryl.io>
DataHub: The Metadata Platform for the Modern Data Stack
Built with ❤️ by 
Acryl Data and 
LinkedIn
🏠 Hosted DataHub Docs (Courtesy of Acryl Data): datahubproject.io
Quickstart | Features | Roadmap | Adoption | Demo | Town Hall
📣 DataHub Town Hall is the 4th Thursday at 9am US PT of every month - add it to your calendar!
- Town-hall Zoom link: zoom.datahubproject.io
- Meeting details & past recordings
✨ DataHub Community Highlights:
- Read our Monthly Project Updates here.
- Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data: Data Engineering Podcast
- Check out our most-read blog post, DataHub: Popular Metadata Architectures Explained @ LinkedIn Engineering Blog.
- Join us on Slack! Ask questions and keep up with the latest announcements.
Introduction
DataHub is an open-source metadata platform for the modern data stack. Read about the architectures of different metadata systems and why DataHub excels here. Also read our LinkedIn Engineering blog post, check out our Strata presentation and watch our Crunch Conference Talk. You should also visit DataHub Architecture to get a better understanding of how DataHub is implemented.
Features & Roadmap
Check out DataHub's Features & Roadmap.
Demo and Screenshots
There's a hosted demo environment courtesy of Acryl Data where you can explore DataHub without installing it locally
Quickstart
Please follow the DataHub Quickstart Guide to get a copy of DataHub up & running locally using Docker. As the guide assumes some basic knowledge of Docker, we'd recommend you to go through the "Hello World" example of A Docker Tutorial for Beginners if Docker is completely foreign to you.
Development
If you're looking to build & modify datahub please take a look at our Development Guide.
Source Code and Repositories
- datahub-project/datahub: This repository contains the complete source code for DataHub's metadata model, metadata services, integration connectors and the web application.
- acryldata/datahub-actions: DataHub Actions is a framework for responding to changes to your DataHub Metadata Graph in real time.
- acryldata/datahub-helm: Repository of helm charts for deploying DataHub on a Kubernetes cluster
- acryldata/meta-world: A repository to store recipes, custom sources, transformations and other things to make your DataHub experience magical
Releases
See Releases page for more details. We follow the SemVer Specification when versioning the releases and adopt the Keep a Changelog convention for the changelog format.
Contributing
We welcome contributions from the community. Please refer to our Contributing Guidelines for more details. We also have a contrib directory for incubating experimental features.
Community
Join our Slack workspace for discussions and important announcements. You can also find out more about our upcoming town hall meetings and view past recordings.
Adoption
Here are the companies that have officially adopted DataHub. Please feel free to add yours to the list if we missed it.
- ABLY
- Adevinta
- Banksalad
- Cabify
- ClassDojo
- Coursera
- DefinedCrowd
- DFDS
- Digital Turbine
- Expedia Group
- Experius
- Geotab
- Grofers
- Haibo Technology
- hipages
- IOMED
- Klarna
- Moloco
- N26
- Optum
- Peloton
- Razer
- Saxo Bank
- Showroomprive
- SpotHero
- Stash
- Shanghai HuaRui Bank
- ThoughtWorks
- TypeForm
- Udemy
- Uphold
- Viasat
- Wikimedia
- Wolt
- Zynga
Select Articles & Talks
- DataHub Blog
- DataHub YouTube Channel
- Optum: Data Mesh via DataHub
- Saxo Bank: Enabling Data Discovery in Data Mesh
- Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data
- DataHub: Popular Metadata Architectures Explained
- Driving DataOps Culture with LinkedIn DataHub @ DataOps Unleashed 2021
- The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019
- Journey of metadata at LinkedIn @ Crunch Data Conference 2019
- DataHub Journey with Expedia Group
- Data Discoverability at SpotHero
- Data Catalogue — Knowing your data
- DataHub: A Generalized Metadata Search & Discovery Tool
- Open sourcing DataHub: LinkedIn’s metadata search and discovery platform
- Emerging Architectures for Modern Data Infrastructure
See the full list here.